RAYLYTIC

We’re #hiring a Head of Clinical Affairs (m/w/d)! This is your chance to contribute your innovative ideas on optimization, scalability, and scientific advancement to our dynamic team. At RAYLYTIC, you'll lead a growing team and drive our clinical and scientific strategy, making lasting contributions to the medical technology field. Don’t miss out—apply now! Great people know great people, so if you know someone who might be the right fit, share this post with your network.

🔍 Study Spotlight: Optimizing #PROMs Collection at Charité - Universitätsmedizin Berlin with the UNITY Platform A recent study from Charité, Berlin, highlighted the time efficiency and accuracy benefits of ePROMs (electronic Patient-Reported Outcome Measures) over aPROMs (analog PROMs) using RAYLYTIC’s UNITY platform. Key Findings: - ePROMs took significantly less time (9.41 min) compared to aPROMs (11.97 min), improving workflow efficiency. - The use of ePROMs also reduces data entry errors when transferring information to the hospital’s EHR system, ensuring greater accuracy. - Age is not relevant for questionnaire completion duration This study underscores the importance of digitization in healthcare for improving both patient care and operational efficiency. Ready to optimize your #OutcomeMeasure collection and reduce errors? Learn more about how UNITY platform can streamline your data collection today: https://lnkd.in/ey5SSvQs

Collecting #MedicalImaging for your clinical trial or research? 🚨 Watch out for the four 4 P's➡️ 1️⃣ PHI Risks: Uploading images or #DICOM files containing identifying PHI. These can hide in DICOM tags and pose compliance risks. 2️⃣ Poor Image Quality: Even subtle issues like positioning or imaging profile can compromise the accuracy of critical measurements required by regulatory bodies. 3️⃣ Protocol Deviations: Missed imaging timepoints can derail your study. Keeping these deadlines top of mind is essential for avoiding costly deviations. 4️⃣ (Over)Promising & Underdelivering: Setting unrealistic imaging endpoints can hinder your ability to deliver actionable, credible data. Regulatory bodies want a meaningful connection between imaging and outcome data. 👉 Ready to see how we can help you overcome common imaging management challenges? Schedule a demo today! https://hubs.li/Q02-HkxD0 #ClinicalTrials #EDC #Orthopedics

The first wave of hype around AI in radiology is coming to a close.🫢 So now what? What will the next wave of AI in medical imaging mean? Now that the initial hype around AI in radiology has settled, it's all about: - feasible integration - explainability - trustworthiness At RAYLYTIC, we're working toward all these elements of robust AI for clinical research, for example with our AI-based application for measuring parameters of sagittal balance. 👉 Want to learn more about how AI is transforming sagittal balance assessment? Check out our case study here: https://hubs.li/Q02ZRrZg0 #RSNA2024 #SpineSurgery #SagittalBalance

This paper is a significant contribution to understanding #scoliosis progression and highlights the critical factors clinicians should consider for effective management. The paper's findings underline key predictors of curve progression in #AIS: Unbraced Patients: Initial Cobb angle > 25° (high evidence) and thoracic curve type (moderate evidence). Braced Patients: Flexibility < 28% (high evidence) and limited in-brace correction (moderate evidence). Other Factors: Thoracic curves, high apical vertebral rotation, rib vertebra angle differences, and low pelvic tilt, though supported by weaker evidence, also contribute to progression risk. At RAYLYTIC, we’re excited to support such advancements with our validated #AI method for measuring #CobbAngle magnitude, enabling precision and efficiency in scoliosis research. See our case study here: https://lnkd.in/erjHSqtf #MedicalImaging #Orthopedics

The first wave of hype around AI in radiology is coming to a close.🫢 So now what? What will the next wave of AI in medical imaging mean? Now that the initial hype around AI in radiology has settled, it's all about: - feasible integration - explainability - trustworthiness At RAYLYTIC, we're working toward all these elements of robust AI for clinical research, for example with our AI-based application for measuring parameters of sagittal balance. 👉 Want to learn more about how AI is transforming sagittal balance assessment? Check out our case study here: https://hubs.li/Q02ZRrZg0 #RSNA2024 #SpineSurgery #SagittalBalance

More than 120,000 PROMs & PREMs per year administered with no increases in staff workload? Full of insights from the Cantonal Hospital Winterthur in Switzerland, our Carolin Kamann will highlight the technical and content-related challenges of implementing PROMs & PREMs in routine clinical workflows, focusing on: - implementing automated workflows - meeting legal requirements  - enhancing care quality and clinical decision-making 📌Join us at the 13. MVF-Congress on December 9 in Berlin to explore practical strategies for outcome measurement in healthcare! Not in Berlin? No problem. Send us a quick message here, and we’ll happily send you the contents of the presentation in the form of a free checklist. https://lnkd.in/eWiuiHNP #PROMs #OutcomeMeasurement #PatientExperience #ValueBasedCare

To all of our colleagues and partners celebrating today, Happy Thanksgiving from RAYLYTIC!🦃 Today we're filled with gratitude that we have the privilege of cooperating with such inspiring scientists, physicians, researchers, and healthcare professionals. As we reflect on this season of thankfulness, we want to express our deep appreciation for your continued trust, collaboration, and commitment to advancing patient care. Wishing you and your loved ones a joyful and safe Thanksgiving holiday. #GivingThanks #GratitudeIsOurAttitude

Are out-of-plane artifacts impacting the quality of your medical images?🤔 Out-of-plane artifacts—like the one see below in L4—can compromise image quality and the accuracy of critical spinal measurements, such as Cobb Angles, Vertebral Rotation, and global Sagittal Balance. Our integrated, AI-powered out-of-plane image detection technology tackles this issue to: 1️⃣ Improve Measurement Accuracy: Detecting and addressing artifacts to ensure accurate spinal measurements and other critical assessments. 2️⃣ Provide Actionable Feedback to Sites: Offering clinical sites insights into systemic image quality issues, enabling teams to adjust protocols and maintain consistently high standards. 💡 What steps is your team taking to ensure imaging accuracy? #MedicalImaging #Spine #Radiology

Millimeter variations in the placement of anatomic landmarks can have maximal impact on Range of Motion (RoM) values. Read more how our AI-based image analysis reduces variability in these measurements to deliver superior radiographic outcome data in cervical spinal fusion research➡️https://hubs.ly/Q02Y2t3J0 #Radiology #SpineSurgery #Spine